Fast Autoaugment alternatives for AI agents.

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Scenic: A Jax Library for Computer Vision Research and Beyond

A python library for self-supervised learning on images.

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

An open source library and framework for deep learning on satellite and aerial imagery.

A simple interface for editing natural photos with generative neural networks.

记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/

All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.

Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

Real time emotion recognition